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Bachelor of Science in Artificial Intelligence (BS AIE)

The Bachelor of Science in Artificial Intelligence (BS AIE) offers to students a training in theoretical concepts and practical methodologies in the discipline

Program Overview

The Bachelor of Science in Artificial Intelligence (BS AIE) program aims to provide quality education in the field of artificial intelligence based on internationally recognized standards for undergraduate programs. The program seeks to produce AI professionals who can efficiently deploy AI technologies, implement solutions according to market and society needs and prepare individuals for lifelong learning and research.

Learning outcomes

On successful completion of this Program, the graduate will be able to:

  • Analyze a complex computing problem and apply principles of computing, artificial intelligence, and other relevant disciplines to identify the appropriate solution.
  • Design, implement, and evaluate a computing-based solution to fulfill specified computing requirements within the Artificial Intelligence discipline.
  • Communicate effectively in diverse professional settings, including technical reporting, client interactions, and interdisciplinary collaborations.
  • Recognize professional responsibilities and make informed judgments based on legal and ethical principles in the fields of computing and Artificial Intelligence.
  • Perform effectively as a member or leader within AI and multidisciplinary teams.
  • Integrate knowledge from other relevant disciplines with Artificial Intelligence theories, techniques, and tools to develop computing-based solutions that meet stakeholders’ requirements.
  • Apply principles of innovation and entrepreneurship, integrate sustainability practices, and demonstrate continual learning and adaptability in the field of computing and Artificial Intelligence.

Career prospects

Graduates of the BS AIE program will gain deep knowledge of AI technologies and methodologies, positioning them as significant contributors to the advancement of global industries.

They will be equipped with the essential knowledge and skills to take on a variety of roles at both managerial and technical levels, such as AI engineer, machine learning specialist, data scientist, robotics developer, or intelligent systems architect. Graduates of the BS AIE program may also choose to pursue postgraduate study and research.

Programs

Frequently Asked Questions

How long does the program typically take?

BS AIE programs at IUGB last 4 years. At IUGB, we also offer internship years or co-op tracks that extend the duration.

Common core subjects include:

  • Machine Learning
  • Deep Learning
  • Programming (Python, Java, C++)
  • Data Structures & Algorithms
  • Mathematics for AI (Calculus, Linear Algebra, Probability)
  • Artificial Neural Networks
  • Computer Vision
  • Robotics & Automation
  • Natural Language Processing
  • Ethics in AI & Responsible Innovation

Elective courses may include cloud computing, cybersecurity, bio-inspired AI, and advanced analytics

Students develop both technical and analytical skills, such as:

  • Coding and software development
  • Designing and training machine learning models
  • Data analysis and visualization
  • Problem-solving and critical thinking
  • Understanding AI’s societal and ethical impact
  • Deploying AI solutions in real-world environments

This degree is ideal for students who enjoy math, technology, logic, and innovation. It fits learners who want careers in AI research, data science, automation, robotics, or tech product development.

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Fatima Doumbia Koné is a Mathematics lecturer at the international University of
Grand-Bassam (IUGB). Among the courses she taught we have the following: Introduction to
Differential Equations, Elementary Statistics, Calculus(I,II,III), Transforms in Applied Math,
Introduction to Linear Algebra, Operations Research and Abstract Algebra.
She has a Bachelor degree in Mathematics (IUGB), a Master degree in Pure and Applied
Mathematics (AUST) and she is currently enrolled for a PhD in Mathematics at the African
University of Science and Tecnology (AUST), Abuja. She has also been an intern at the
Institutional Banking Group department within GTBANK CI (Garanty Trust Bank Côte
D’Ivoire).
She is a former IUGB student and she was the president of the science club in 2015.
Academically, her goal is to be a great researcher and innovator on the topics of asymptotic
theories in Fuzzy Probability Theory and their various applications to image processing. She
has good programming skills (JAVA, LaTeX, C++) and she is bilingual (French and English).
Over the years, she has been developing a method of teaching which not only put students at
the center of the learning process but also which deconstruct most of the stereotypes about the
inaccessibility of mathematical knowledge to everybody.
Regarding her research activities, she has been working since 2018 on the topic of integration
on Banach spaces and a preprint of an interesting work is available at
https://arxiv.org/pdf/1905.04480. She is continuing with her research on integration but now
her PhD studies focus on Random Sets Integration in Probability Theory. Professionally, she
is a very active lecturer at IUGB and she is currently the faculty advisor of the SHE CLUB,
which aims at promoting women empowerment by providing learning, leadership and
networking opportunities.

I am currently Associate Professor of computer and data science in the school of science technology, engineering and mathematics (STEM) at the International University of Grand-Bassam (IUGB).
From 2000 to 2018, I successively worked as a research scientist at Independent Computing Research in Montreal, Quebec, Canada; Assistant Professor at the department of computer science and
engineering at Université Laval in Québec, Canada; Research Associate at the Japan Advanced Institute of Science and Technology (JAIST) where I also received a Ph.D. degree in computer science in March 2000. Upon receiving a master's degree in mathematical and computing science
from the Tokyo Institute of Technology (TIT) in 1990 in Japan, I worked as a research scientist at National/Panasonic, one of the most prestigious companies in Tokyo.
I am involved in research on Artificial Intelligence, Data Science, Semantic Web and its applications in a wide range of fields. Besides, I designed the current Data Science program in effect
since September 2021 in STEM. In addition, I am also one the founders and current President of the
Ivorian Association of Artificial Intelligence and member of ORBICOM, the Network of UNESCO Chairs in Communication headquartered in University of Quebec in Montreal (UQUAM), Canada.

Kwame Simpe Ofori is an Assistant Professor in Finance at the school of Business and Social Sciences. He holds a doctorate degree in Finance, a master’s degree in finance and a master’s degree in Telecommunications Technology. He is also currently a PhD student at the School of Management and Economics, University of Electronic Science and Technology of China. He has taught courses in the areas of finance, computer science, computer and electrical engineering, and telecommunication engineering. Before joining IUGB he lectured in several universities in Ghana. He also worked with Ghana Telecommunications Company as a support engineer. His research interests are in the areas of consumer behaviour, technology adoption and trust in online systems and in recent times financial econometrics. His papers have appeared in several CABS-ranked journals such as Information Technology and People, Journal of Cleaner Productions, Quality Management Journal, Marketing Intelligence and Planning, International Journal of Bank Marketing, Total Quality Management and Business Excellence, Journal of African Business, Journal of Hospitality and Tourism Technology and Society and Business Review.